Cloud Platform Engineer
About The Position
Onsite: Brooklyn, NY Required Skills: Minimum 7 years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda. Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python). Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining. Minimum 7 years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures. Minimum 5 years of experience CI/CD pipelines, Jenkins, and IaC for deploying AI agents and ML models into production, monitoring autonomous workflows, and supporting MLOps using Kubernetes, ECS, or EKS. Minimum 4 years of experience architecting, building, and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns. Minimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases (OpenSearch). Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
Requirements
- Minimum 7 years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda.
- Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python).
- Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining.
- Minimum 7 years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures.
- Minimum 5 years of experience CI/CD pipelines, Jenkins, and IaC for deploying AI agents and ML models into production, monitoring autonomous workflows, and supporting MLOps using Kubernetes, ECS, or EKS.
- Minimum 4 years of experience architecting, building, and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns.
- Minimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases (OpenSearch).
- Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
